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Zoom link for all online reading groups: https://feectu.zoom.us/j/98555944426


05/11/24 
11:00
Segment Anything, [1][2], ICCV 2023 + arxiv
Presented by Andrii Yermakov

19/11/24 
11:00
How Far Can a 1-Pixel Camera Go? Solving Vision Tasks using Photoreceptors and Computationally Designed Visual Morphology, ECCV 2024
Presented by Armin Hadžić

26/11/24 
11:00
Object discovery and representation networks, ECCV 2022
Presented by Ondřej Matoušek

3/12/24 
11:00
Denoising Vision Transformers, ECCV 2024
Presented by Filip Kučera

5/12/24 
11:00
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation, CVPR 2023
Presented by Muris Sladić

12/12/24 
11:00
FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent, arxiv 2024
Presented by Tomas Musil

19/12/24 
11:00
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation, ECCV 2024
Presented by Simona Kocour

Past presentations

04/07/24 
11:00
High-resolution image reconstruction with latent diffusion models from human brain activity, CVPR 2023
Presented by Akash Chaudhary,

27/06/24 
11:00
Tracking Everything Everywhere All At Once, ICCV 2023
Presented by Pavlo Yefanov,

13/06/24 
11:00
DUSt3R: Geometric 3D Vision Made Easy, CVPR 2024
Presented by Valentýn Číhala,

11/06/24 
11:00
RoMa: Robust Dense Feature Matching, CVPR 2024
Presented by Martin Cífka,

28/05/24 
11:00
Emerging Properties in Self-Supervised Vision Transformers, ICCV 2021
DINOv2: Learning Robust Visual Features without Supervision, arxiv 2024
Presented by Georgy Ponimatkin,

30/01/24 
11:00
3D Gaussian Splatting for Real-Time Radiance Field Rendering, SIGGRAPH 2023
Presented by Tomáš Jelínek,

25/01/24 
11:00
Revisiting the P3P Problem , CVPR 2023
Presented by Václav Vávra,

23/01/24 
11:00
Efficient Geometry-aware 3D Generative Adversarial Networks, CVPR 2022
Presented by Jan Ferbr,

18/01/24 
11:00
Adding Conditional Control to Text-to-Image Diffusion Models, ICCV 2023
Presented by Klara Janouskova,

11/01/24 
11:00
Learning to Detect Scene Landmarks for Camera Localization, CVPR 2022
Presented by Cardozo Shawn Moses,

10/07/23 
11:00
I^2R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation, IJCAI 2022
Presented by Miroslav Purkrábek,

10/01/23 
11:00
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers, NeurIPS 2021
Presented by Petr Vanc,

17/01/23 
11:00
Progressive Correspondence Pruning by Consensus Learning, ICCV 2021
Presented by Tong Wei,

19/01/23 
11:00
High-Resolution Image Synthesis with Latent Diffusion Models, CVPR 2022
Presented by Nela Petrželková,

24/01/23 
11:00
S2DNet: Learning Accurate Correspondences for Sparse-to-Dense Feature Matching, ECCV 2020
Presented by Jiří Ulrich,

26/01/23 
11:00
NeFSAC: Neurally Filtered Minimal Samples, ECCV 2022
Presented by Charalambos Tzamos,

2/02/23 
11:00
CrossTransformers: spatially-aware few-shot transfer, NeurIPS 2020
Presented by Monish Keswani,

15/12/22 
11:00
Splicing ViT Features for Semantic Appearance Transfer, CVPR 2022
Presented by Nikolaos-Antonios Ypsilantis

09/06/22 
11:00
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Presented by Varun Burde

07/06/22 
11:00
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
Presented by Zdeněk Rozsypálek

02/06/22 
11:00
NeRF in detail: Learning to sample for view synthesis
Presented by Diana Sungatullina

31/05/22 
11:00
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Presented by Vladan Stojnic

26/05/22 
11:00
EditGAN:High-precision semantic image editing
Presented by Adela Subrtova

12/05/22 
11:00
Gradient based sample selection for online continual learning
Presented by Ai Jianhang

10/05/22 
11:00
Understanding Vision Transformers
Presented by Klara Janouskova

03/02/22 
11:00
Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task, CVPR 2020
Presented by Arash Amjadi, slides

01/02/22 
11:00
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly, PAMI 2018
Presented by Pavel Suma, slides

27/01/22 
11:00
Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, 3DV 2021
Presented by Afzal Ahmad, slides

25/01/22 
11:00
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding, NAACL-HLT 2019
Presented by Ondrej Kobza, slides

20/01/22 
11:00
Self-supervised video object segmentation by motion grouping, ICCV 2021
Presented by Juliette Bertrand, slides

06/01/22 
11:00
Decision Transformer: Reinforcement Learning via Sequence Modeling, NeurIPS 2021
Presented by Aurele HAINAUT, slides

11/01/22 
11:00
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement, ICCV 2021
Presented by Pietrantoni Maxime, slides

13/01/22 
11:00
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains, NeurIPS 2020
Presented by Shubhan Patni, slides

14/12/21 
11:00
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis,, ECCV 2020
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields, ICCV 2021
Presented by Jonas Kulhanek , slides

07/12/21 
11:00
Convolutional Occupancy Networks, ECCV 2020
Presented by Jan Kúdelka , slides

9/12/21 
11:00
Visformer: The Vision-Friendly Transformer, ICCV 2021
Presented by Nikita Sokovnin , slides

11/11/21 
11:00
Online Class-Incremental Continual Learning with Adversarial Shapley Value, AAAI 2021
Presented by Arti Bandhana
slides

26/10/21  End-to-End Object Detection with Transformers, ECCV 2020
Presented by Volodymyr Zabulskyi
slides
21/10/21  Fast end-to-end learning on protein surfaces, CVPR 2021
Presented by Petr Kouba
slides
14/10/21  Deep semi-supervised learning with consistency loss
Material: [1] [2] [3 ]
Presented by Awet Haileslassie Gebrehiwot, slides,
29/07/21  Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks
Michelle A. Lee , Yuke Zhu, Peter Zachares, Matthew Tan, Krishnan Srinivasan, Silvio Savarese, Li Fei-Fei, Animesh Garg , and Jeannette Bohg, IEEE TRANSACTIONS ON ROBOTICS, 2020
Presented by Louis Montaut, slides,
22/04/21  Domain-Adversarial Training of Neural Networks
Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M. and Lempitsky, V., JMLR 2016
Presented by Nikos Efthymiadis, slides,
02/03/21  Transporter Networks: Rearranging the Visual World for Robotic Manipulation
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani, Johnny Lee, CoRL 2020
Presented by Kateryna Zorina , slides
25/02/21  Class-Balanced Loss Based on Effective Number of Samples
Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie, CVPR 2019
Presented by Kang Cheng , slides
12/01/21  Support-set bottlenecks for video-text representation learning, Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi, ICLR 2021
Presented by Tomas Soucek, slides
15/12/20  SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich, CVPR 2020
Presented by Ilia Shipachev, slides
10/12/20  Contrastive learning for visual representations - Part 2
Material: [1] [2]
Presented by Antonin Vobecky, slides
08/12/20  Contrastive learning for visual representations - Part 1
Material: [1] [2]
Presented by Patrik Vacek, slides
01/12/20 DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization
Juan Du, Rui Wang, Daniel Cremers, ECCV 2020
Presented by Vojtěch Pánek, slides
26/11/20 Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman. ECCV 2020
Presented by Yash Patel, slides
23/10/20 Multi-Instance Classification by Max-Margin Training of Cardinality-Based Markov Networks
Hossein Hajimirsadeghi and Greg Mori. PAMI 2017
Presented by Dennis Baručić, slides
13/10/20 High-Frequency Component Helps Explain the Generalization of Convolutional Neural_Networks
Haohan Wang, Xindi Wu, Zeyi Huang, Eric P. Xing. CVPR 2020
Presented by Filip Naiser, slides
9/09/20 PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun, Xiaodong Yang, Ming-Yu Liu, and Jan Kautz. CVPR 2018
Presented by Michal Neoral, slides
11/06/20 Deep Hough Voting for 3D Object Detection in Point Clouds
Charles Qi, Or Litany, Kaiming He, Leonidas J. Guibas. ICCV 2019
Presented Jan Bayer, slides
14/05/20  Variational Autoencoders with application to unsupervised representation learning
Material: main paper, VAE background, optional1, optional2
Presented by Yash Patel, slides
14/04/20  node2vec: Scalable feature learning for networks
A. Grover, J. Leskovec. ACM SIGKDD 2016
Presented by Tomáš Nováček, slides
12/03/20 GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Bolei Zhou, Joshua B. Tenenbaum, William T. Freeman, Antonio Torralba. ICLR 2019
Presented by Jakub Žitný, slides
14/01/20 Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
Arslan Chaudhry, Puneet K. Dokania, Thalaiyasingam Ajanthan, Philip H. S. Torr, ECCV 2018.
Presented by Miloš Prágr, slides
09/01/20 LOGAN: Latent Optimisation for Generative Adversarial Networks
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap
Presented by Michal Šustr, slides
21/11/19 ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness
R. Geirhos, P. Rubisch, C. Michaelis, M. Bethge, F. Wichmann, W. Brendel, ICLR 2019
Presented by Nikos Efthymiadis, slides
05/11/19 Event-Based Motion Segmentation by Motion Compensation
T. Stoffregen, G. Gallego, T. Drummond,L. Kleeman, D. Scaramuzza. ICCV 2019
Presented by Holesovsky Ondrej, slides
12/09/19 The Inverted Multi-Index
A. Babenko and V. Lempitsky, PAMI 2014
Presented by Denis Efremov, slides
05/09/19 Video Propagation Networks
V. Jampani, R. Gadde and P. Gehler, CVPR 2017
Presented by Jonas Serych, slides
30/08/19 A General Solver Based on Sparse Resultants
I. Emiris, PoSSo 1995,
Presented by Pavel Trutman, slides
26/3/19 Dynamic Graph CNN for Learning on Point Clouds
Y. Wang, Y. Sun, Z. Liu, S. Sarma, M. Bronstein, J. Solomon, arxiv 2018,
Presented by Otakar Jašek, slides
17/1/19 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
C. Finn, P. Abbeel, S. Levine, ICML 2017,
Presented by Teymur Azayev, slides
20/11/18 Semi-supervised classification with graph convolutional networks
T. Kipf and M. Welling, ICLR 2017,
Presented by Radim Špetlík, slides
24/05/18 Fast edge detection using structured forests
P. Dollar and L. Zitnick, PAMI 2015,
Presented by Vojtěch Cvrček, slides
24/04/18 Compressed Sensing
David L. Donoho, IEEE Transacations on Information Theory, 2006
Presented by Rickard Hole Falck
27/03/18 Dynamic Routing Between Capsules
S. Sabour, N. Frosst, G. Hinton, NIPS 2017
Presented by Karel Ha, slides.
14/12/17 Deformable Convolutional Networks
J. Dai, H. Qi, Y. Xiong, Y. Li,. Zhang, H. Hu, Y. Wei, ICCV 2017
Presented by Tomáš Jeníček, slides.